System and method for real-time web page analysis and modification

ABSTRACT

A technique is described for delivering contextual information to end users of a data network which includes at least one client system associated with an end user. According to a specific embodiment, the technique of the present invention provides a contextual-based platform for delivering to an end user in real-time proactive, personalized, contextual information relating to web page content currently being displayed to the user.

RELATED APPLICATION DATA

This application is a continuation of, and claims priority under 35U.S.C. §120 to U.S. patent application Ser. No. 11/891,436, filed Aug.10, 2007, entitled “SYSTEM AND METHOD FOR REAL-TIME WEB PAGE CONTEXTANALYSIS FOR THE REAL-TIME INSERTION OF TEXTUAL MARKUP OBJECTS ANDDYNAMIC CONTENT,” which claims priority benefit under 35 U.S.C. §120 toprior U.S. patent application Ser. No. 10/977,352 entitled “SYSTEM ANDMETHOD FOR REAL-TIME WEB PAGE CONTEXT ANALYSIS FOR THE REAL-TIMEINSERTION OF TEXTUAL MARKUP OBJECTS AND DYNAMIC CONTENT,” by Henkin etal., filed on Oct. 28, 2004, which claims benefit under 35 U.S.C. §119to U.S. Provisional Application Ser. No. 60/515,627, naming Henkin etal. as inventors, and filed Oct. 29, 2003. Each of these applications isincorporated herein by reference in its entirety for all purposes.

U.S. patent application Ser. No. 11/891,436, filed Aug. 10, 2007,entitled “SYSTEM AND METHOD FOR REAL-TIME WEB PAGE CONTEXT ANALYSIS FORTHE REAL-TIME INSERTION OF TEXTUAL MARKUP OBJECTS AND DYNAMIC CONTENT,”is also a continuation-in-part application of, and claims priority under35 U.S.C. §120 to U.S. application Ser. No. 09/943,524, “DYNAMICDOCUMENT CONTEXT MARK-UP TECHNIQUE IMPLEMENTED OVER A COMPUTER NETWORK”,naming Henkin et al. as inventors, and filed Aug. 29, 2001, which claimsbenefit under 35 U.S.C. §119 to U.S. Provisional Application Ser. No.60/311,418, “METHOD AND SYSTEM FOR ON-LINE BUSINESSES, INCLUDING BUT NOTLIMITED TO INTERNET SERVICE PROVIDERS TO ANALYZE PAGE CONTEXT ALL OVERTHE WEB ON REAL TIME AND IN REAL TIME MARK-UP TEXTUAL OBJECTS ON THEPAGE AND DELIVER DYNAMIC OFFERS IN REAL TIME”, naming Henkin et al. asinventors, and filed Aug. 9, 2001, and which claims benefit under 35U.S.C. §119 to U.S. Provisional Application Ser. No. 60/229,452, “METHODAND SYSTEM FOR ON-LINE BUSINESSES, INCLUDING BUT NOT LIMITED TO INTERNETSERVICE PROVIDERS TO ANALYZE PAGE CONTEXT ALL OVER THE WEB ON REAL TIMEAND IN REAL TIME MARK-UP TEXTUAL OBJECTS ON THE PAGE AND DELIVER DYNAMICOFFERS IN REAL TIME” naming Henkin et al. as inventors, and filed Aug.30, 2000. Each of these applications is incorporated herein by referencein its entirety for all purposes.

U.S. patent application Ser. No. 11/891,436, filed Aug. 10, 2007,entitled “SYSTEM AND METHOD FOR REAL-TIME WEB PAGE CONTEXT ANALYSIS FORTHE REAL-TIME INSERTION OF TEXTUAL MARKUP OBJECTS AND DYNAMIC CONTENT,”This application is also a continuation-in-part application of, andclaims priority under 35 U.S.C. §120 to prior U.S. patent applicationSer. No. 09/943,571 entitled “DYNAMIC DOCUMENT CONTEXT MARK-UP TECHNIQUEIMPLEMENTED OVER A COMPUTER NETWORK,” the entirety of which isincorporated herein by reference for all purposes.

BACKGROUND OF THE INVENTION

Over the past decade the Internet has rapidly become an important sourceof information for individuals and businesses. The popularity of theInternet as an information source is due, in part, to the vast amount ofavailable information that can be downloaded by almost anyone havingaccess to a computer and a modem. Moreover, the internet is especiallyconducive to conduct electronic commerce, and has already proven toprovide substantial benefits to both businesses and consumers.

Many web services have been developed through which vendors canadvertise and sell products directly to potential clients who accesstheir websites. To attract potential consumers to their websites,however, like any other business, requires target advertising. One ofthe most common and conventional advertising techniques applied on theInternet is to provide advertising promotions (e.g., banner ads,pop-ups, ad links) on the web page of another website which directs theend user to the advertiser's site when the advertising promotion isselected by the end user. Typically, the advertiser selects websiteswhich provide context or services related to the advertiser's business.

Conventionally, the process of adding contextual advertising promotionsto web page content is both resource intensive and time intensive. Inrecent years the process has been somewhat automated by utilizingsoftware applications such as application servers, ad servers, codeeditors, etc. Despite such advances, however, the fact remains thatconventional contextual advertising techniques typically requiresubstantial investments in qualified personnel, software applications,hardware, and time.

Furthermore, conventional on-line marketing and advertising techniquesare often limited in their ability to provide contextually relevantmaterial for different types of web pages. One reason for this is due tothe fact that conventional on-line advertising techniques typically relyupon non-real time analysis of web page content (e.g., from cashedversions of static web pages) to make determinations as to whichadvertising promotions will be contextually relevant to each web page.However, user customizable web pages, password protected web pages, andreal-time dynamically generated web pages are examples of other types ofweb pages for which it is difficult or impossible to access or predictthe content of such pages. The problem intensifies when dealing withsites in which the web page content is continuously changing over timesuch as, for example, news sites.

Accordingly, it will be appreciated that there exists a need forimproving on-line contextual advertising techniques in order to utilizereal-time analysis of web page content for identifying advertisingpromotions that are contextually relevant to such content.

SUMMARY OF THE INVENTION

Various aspects of the present invention are directed to methods,systems, and computer program products for delivering contextualinformation to end users of a data network which includes at least oneclient system associated with an end user. A portion of web page contentrelating to a web page intended for display on the client system isreceived. According to a specific embodiment, the web page may beassociated with a URL which is associated with a content provider. Theportion of web page content is analyzed for keyword information. Aportion of keyword information associated with the portion of web pagecontent is identified. According to a specific embodiment, the portionof keyword information includes at least one keyword. Contextualinformation to be delivered to the end user is selected using theportion of keyword information. According to a specific embodiment, thecontextual information may include ad information which is provided by acampaign provider server system. A set of web page modificationinstructions may be generated using the contextual information.According to a specific embodiment, the set of web page modificationinstructions may include instructions for modifying the web page contentto include the selected contextual information. The set of web pagemodification instructions may be provided to the client system tothereby cause the portion of contextual information to be delivered tothe user. According to a specific embodiment, when the client systemimplements the web page modification instructions, the web page contentmay be caused to be modified in a manner which results in a display ofcontextual information on the client system. According to a specificembodiment, the portion of web page content may be analyzed for dynamickeyword information based on language, grammar and/or part-of-speechrules. Keywords relating to the portion of web page content may then beautomatically and dynamically generated based upon the dynamic keywordinformation analysis.

Additional objects, features and advantages of the various aspects ofthe present invention will become apparent from the followingdescription of its preferred embodiments, which description should betaken in conjunction with the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows a block diagram of a computer network portion 100 which maybe used for implementing various aspects of the present invention inaccordance with a specific embodiment.

FIG. 2 shows a block diagram of various components and systems of theKontera Server System 200 which may be used for implementing variousaspects of the present invention in accordance with a specificembodiment.

FIG. 3 shows a flow diagram illustrating various information flows andprocesses of the present invention which may occur at various systems inaccordance with a specific embodiment.

FIG. 4 shows a flow diagram of an alternate embodiment for implementingthe contextual analysis and content modification techniques of thepresent invention.

FIG. 5 shows a flow diagram of a Web Page Content Analysis Procedure 500and accordance with a specific embodiment of the present invention.

FIG. 6 shows a flow diagram of a Database Method Analysis Procedure 600in accordance with a specific embodiment of the present invention.

FIG. 7 shows a flow diagram of a Dynamic Method Analysis Procedure 700in accordance with a specific embodiment of the present invention.

FIG. 8 shows a flow diagram of a Page Modification Instruction Procedure800 in accordance with a specific embodiment of the present invention.

FIG. 9 shows a flow diagram of a Dynamic Feedback Procedure 900 inaccordance with the specific embodiment of the present invention.

FIGS. 10A-E provide examples of various screen shots which illustratedifferent techniques which may be used for modifying web page displaysin order to present additional contextual advertising information.

FIG. 11 shows an example of a dynamic feedback database record 1100 inaccordance with a specific embodiment of the present invention.

FIG. 12 shows an example of a keyword taxonomy database record 1200 inaccordance with a specific embodiment of the present invention.

FIG. 13 shows an example of a contextual ad information record 1300 inaccordance with a specific embodiment of the present invention.

FIG. 14 shows an example of a keyword/topic classification scheme 1400in accordance with a specific embodiment of the present invention.

FIG. 15 shows a network device 60 suitable for implementing thecontextual information delivery techniques of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

The present invention relates to a technique for real-time web pagecontext analysis and real-time insertion of textual markup objects anddynamic content. According to a specific embodiment, the technique ofthe present invention may be used for enabling advertisers to providecontextual advertising promotions to end-users based upon real-timeanalysis of web page content that is being served to the end-user'scomputer system. In at least one embodiment, the information obtainedfrom the real-time analysis may be used to select, in real-time,contextually relevant information, advertisements, and/or other contentwhich may then be displayed to the end-user, for example, via real-timeinsertion of textual markup objects and/or dynamic content.

According to different embodiment of the present invention, a variety ofdifferent techniques may be used for displaying the textual markupinformation and/or dynamic content information to the end-user. Asdescribed in greater detail below, such techniques may include, forexample, placing additional links to information (e.g., content,marketing opportunities, promotions, graphics, commerce opportunities,etc.) within the existing text of the web page content by transformingexisting text into hyperlinks (herein referred to as “AdLinks”); placingadditional relevant search listings or search ads next to the relevantweb page content (herein referred to as “TextMatch”); placing relevantmarketing opportunities, promotions, graphics, commerce opportunities,etc. next to the web page content (herein referred to as “AdMatch”);placing relevant content, marketing opportunities, promotions, graphics,commerce opportunities, etc. on top or under the current page (hereinreferred to as “Contextual Pop-ups”); finding pages that relate to eachother (e.g., by relevant topic or theme), then finding relevant keywordson those pages, and then transforming those relevant keywords intohyperlinks that link between the related pages (herein referred to as“NaviLinks”).

FIG. 1 shows a block diagram of a computer network portion 100 which maybe used for implementing various aspects of the present invention inaccordance with a specific embodiment. As illustrated in FIG. 1, networkportion 100 includes at least one client system 102, at least one hostserver or content provider (CP) server 104, at least one advertisersystem 106, and at least one contextual analysis and response server(herein referred to as “Kontera Server System” or “KON Server”) 108. Itat least one embodiment, the Kontera Server System 108 may be configuredor designed to implement various aspects of the present inventionincluding, for example, real-time web page context analysis and/orreal-time insertion of textual markup objects and dynamic content. Inthe example of FIG. 1, the Kontera Server System 108 is shown to includea variety of components, including, for example, a Cache & Front Endcomponent 108 a, an Analysis & Reaction Engine 108 b, a Redirect &Tracking Engine 108 c, a Middle Tier component 108 d, a database 108 e,a Taxonomy component 108 f, a Management Console 108 g, etc. A number ofthese components are described in greater detail with respect to FIG. 2of the drawings.

FIG. 2 shows a block diagram of various components and systems of theKontera Server System 200 which may be used for implementing variousaspects of the present invention in accordance with a specificembodiment. As illustrated in the embodiment of FIG. 2, the Front Endcomponent 204 includes at least one web server and web serverextensions, and is configured or designed to handle requests from clientsystems 202.

The Analysis Engine 206 may be configured or designed to performreal-time analysis of web page content. As illustrated in the example ofFIG. 2, the Analysis Engine 206 may include one or more of the followingcomponents: a keywords finder 206 a for identifying keywords on selectedweb pages; a concepts extractor 206 b for combining or linking keywordsinto groups or concepts; a topic finder 206 c for identifying topics ofa web page based on the identified keywords; an aliases finder 206 d foridentifying aliases for topics associated with selected web pages; etc.

The Reaction Engine 208 may be configured or designed to utilizeinformation provided by the Analysis Engine 206 to generate real-timeweb page modification instructions to be implemented by the clientsystem when rendering web page information. According to a specificembodiment, the web page modification instructions may includeinstructions relating to the insertion of textual markup objects and/ordynamic content for selected web pages being displayed on the clientsystem. As illustrated in the example of FIG. 2, the Reaction Engine 208may include one or more of the following components: an intrasite linksfinder 208 a for identifying links between web pages of the same website and/or between web pages from different web sites; a filter 208 bfor filtering advertisements based upon predetermined criteria (such as,for example, publisher preferences); a cache 208 c for storinginformation relating to previous analysis of web pages; apersonalization engine 208 d for selecting or determining recommendedweb page modification instructions based upon selected user profileinformation (e.g., user click behavior, Geolocation, etc.).

The Tracking Engine 228 may be configured or designed to includeredirect and tracking functionality. For example, the shown in FIG. 2,the Tracking Engine 228 may include: a redirect component 228 a forredirecting clients to a specified destination, the tracking component228 b for tracking and storing information relating to user clicks andimpressions.

Other components of the Kontera Server System 200 may include: a chunkparser 212 (such as, for example, a part-of-speech text processor) forparsing chunks of received web page content and/or for performinganalyses of the text syntax; a Middle Tier component 210 configured ordesigned to include data warehouse and business logic functionality; atleast one database 230 for storing information such as, for example, webpage analysis information, application data, reports, taxonomyinformation, ontology information, etc.; a report manager 222 forcollecting and storing reports and other information from differentcomponents in the Kontera Server System; a connectors component 216configured or designed to provide a connection point for external data;a translation engine 224 for translating or converting communicationsfrom one format type to another format type (e.g., from XML to HTML orvice versa); a parsing engine for parsing HTML into readable text; and amanagement console 214 which provides a user interface for creating andviewing reports, setting system configurations and parameters, etc.According to a specific embodiment, the management console 214 may beconfigured or designed to allow content providers and/or advertisers toaccess the Kontera Server System in order to: access desired informationstored at the Kontera Server System (e.g., keyword taxonomy information,content provider information, advertiser information, etc.); manage andgenerate desired reports; manage information relating to one or more adcampaigns; etc. It will be appreciated that alternate embodiments of theKontera Server System of the present invention may include additional orfewer components than those illustrated in FIG. 2.

FIG. 3 shows a flow diagram illustrating various information flows andprocesses of the present invention which may occur at various systems inaccordance with a specific embodiment. According to a specificimplementation, in order for a content provider (such as, for example,on-line publishers or other website operators providing on-line content)to utilize the real-time contextual advertising features of the presentinvention, the content provider will first obtain a unique contentprovider ID. In one implementation, the unique content provider ID maybe assigned by the Kontera Server System. In a specific embodiment, theunique content provider ID information may be embedded into a dynamiccontext tag (such as, for example, a Java script tag) which may then beinserted into the content provider's web pages. Thus, for example, asillustrated in FIG. 3, the Kontera Server System (KON) 304 provides (2)dynamic context tag information which includes the unique contentprovider ID to the content provider server (CP) 306. In at least oneimplementation, the content provider may utilize the dynamic context taginformation to generate one or more dynamic context tags to be inserted(4) on selected web pages which the content provider has identified forutilizing the real-time contextual advertising features of the presentinvention. According to a specific embodiment, each dynamic context tagmay include information relating to the content provider ID, and mayalso include information relating to one or more desire to add types(e.g., TextMatch, AdMatch, Pop-up, AdLink, NaviLink, etc.) for thecorresponding web page. In one embodiment, the dynamic context tag maybe physically inserted into each of the selected web pages.Alternatively, the dynamic context tag information may be inserted intothe page via a tag that is already all the page such as, for example,and ad server tag or an application server tag. Once present on thepage, the dynamic context tag will be served as part of the page that isserved from the content provider's web server(s).

For example, as shown in FIG. 3, it is assumed at (6) that a user at theclient system 302 has initiated a URL request to view a particular webpage such as, for example, www.yahoo.com. Such a request may beinitiated, for example, via the Internet using an Internet browserapplication at the client system. When the URL request is received atthe content provider server 306, the server responds by transmitting orserving (8) web page content, including the dynamic context tag, to theclient system 302. The client system will then process (10) the receivedweb page content including the dynamic context tag, which includesdynamic context tag information relating to the content provider ID anddesired ad types for the retrieved web page. According to a specificembodiment, the processing of the dynamic context tag information willinvoke a Java script operation which causes the client system togenerate (10) a unique page key ID for the received web page content,and to transmit (12) the page key ID information, desired ad typeinformation, and content provider ID information to the Kontera ServerSystem 304. In at least one embodiment, a page key ID represents aunique identifier for a specific web page, and may be generated basedupon text, structure and/or other content of that web page. In aspecific implementation, the page key ID is not based upon the identityof the user, client system, or content provider. However, the page keyID may be used to uniquely identify personalized web pages, customizedweb pages, and dynamically generated web pages.

Upon receiving the page key ID information and content provider IDinformation, the Kontera Server System uses this information todetermine (16) whether a cached version of the web page corresponding tothe page key ID already exists within the Kontera Server System cache.According to a specific embodiment, if it is determined that a cachedversion of the web page exists at the Kontera Server System, then flowmay commence starting at operation (24) of FIG. 3, which is described ingreater detail below. However, for purposes of illustration, it isassumed that a cached version of the web page does not exist at theKontera Server System. Accordingly, the Kontera Server System request(18) the client system to provide at least a portion of the web pagecontent. The client system responds by transmitting (20) the requestedweb page content to the Kontera Server System. In the specificimplementation, the requested content may be transmitted to the KonteraServer System in chunks which may span the one or more sessions.

As the Kontera Server System receives the web page content from theclient system, it analyzes (22), in real-time, the received web pagecontent in order to generate keyword information and page topicinformation. Specific embodiments of the web page content analysisprocedure are described in greater detail below with reference to FIGS.5-7 of the drawings. According to a specific implementation, the keywordinformation may include, for example, taxonomy keywords, ontology (or“Adlink”) keywords, keyword ranking information, primary keywordinformation, etc. The page topic information may include one or morepage topics associated with the web page currently being analyzed. In atleast one embodiment, taxonomy keywords may correspond to words orphrases in the web page content which relate to the topic or subjectmatter of the web page. Ontology or Adlink keywords may correspond towords or phrases in the web page content which may have advertisingvalue. In some cases, it is possible for a word or phrase to beclassified as both a taxonomy keyword and an Adlink keyword.

In at least one implementation, the Kontera Server System may continueto request and analyze web page content for the specified web page untilit has generated a sufficient amount of keyword information (e.g., 5 ormore taxonomy keywords and 5 or more ontology keywords), until it hasgenerated a sufficient amount of page topic information, and/or untilthe entirety of the web page content has been analyzed. Once the KonteraServer System has finished performing its analysis of the web pagecontent, it may then submit a request (24) to one or more advertisersystems 308 for contextual ad information relating to the identifiedkeyword information and page topic information. Each advertiser systemmay, in turn, process the ad information request in order to determineif it has relevant advertising information relating to the specifiedkeyword information and page topic information. If so, the advertisersystem 308 may transmit (26) contextual ad information to the KonteraServer System. In at least one embodiment, the contextual ad informationmay include a variety of different information such as, for example,text, images, HTML, scripts, video, audio, proprietary rich media, etc.In addition, the contextual ad information also include URL informationand financial information such as, for example, cost per click (CPC)information. An example of this is illustrated in FIG. 13 of thedrawings.

FIG. 13 shows an example of a contextual ad information record 1300 inaccordance with a specific embodiment of the present invention. As shownin FIG. 13, ad information record 1300 may include a plurality ofdifferent fields such as, for example, a title field 1302 which mayinclude title information relating to the ad, a description field 1304which may include content relating to the ad, a click URL field 1308which includes a “click” URL that is to be accessed when the user clickson the ad, a landing URL field 1306 which includes a “landing” URL wherethe user will eventually be redirected to after the click URL action hasbeen processed, a cost-per-click (CPC) information field 1312 which mayinclude cost-per-click information relating to one or more monetaryvalues which the advertiser will pay for each user click on the ad.

According to a specific embodiment, it is possible for the KonteraServer System 304 to receive different contextual ad information from aplurality of different advertiser systems. In one implementation, thereceived ad information may be sorted and/or ranked according topredetermined criteria (such as, for example, CPC criteria, revenuecriteria, expected return criteria, type of ad, likelihood of userclicks, statistical historical data, etc.) in order to select thedesired ad to be used.

Returning to FIG. 3, once a desired ad has been selected, the KonteraServer System may then generate (28) web page modification instructionsusing, for example, the contextual ad information associated with theselected ad, and the desired ad type information specified by thecontent provider. An example of a specific embodiment of web pagemodification instructions procedure is described in greater detail belowwith respect to FIG. 8 of the drawings. According to a specificembodiment, the web page modification instructions may include keywordimpression information which may be logged at the Kontera Server Systemdatabase.

Once the web page modification instructions have been generated, theyare transmitted (30) to the client system. In a specific embodiment, theweb page modification instructions may be implemented using a scriptinglanguage such as, for example, Java script. When the web pagemodification instructions are received at the client system, the clientsystem processes the instructions, and in response, modifies (32) thedisplay of the web page content in accordance with the page modificationinstructions.

According to at least one embodiment, the web page modificationinstructions may include instructions for modifying, in real-time, thedisplay of web page content on the client system by inserting and/ormodifying textual markup information and/or dynamic content information.Because the web page modification operations are implementedautomatically, in real-time, and without significant delay, suchmodifications may be performed transparently to the user. Thus, forexample, using the technique of the present invention, when the usersubmits a URL request at the client system to view a web page (suchwww.yahoo.com, for example), the client system will receive web pagecontent from www.yahoo.com, and will also receive web page modificationinstructions from the Kontera Server System. The client system will thenrender the web page content to be displayed in accordance with thereceived web page modification instructions.

FIGS. 10A-E provide examples of various screen shots which illustratedifferent techniques which may be used for modifying web page displaysin order to present additional contextual advertising information. FIG.10A illustrates a technique (herein referred to as “TextMatch”) forplacing additional relevant search listings (1002 a, 1002 b) or searchresults next to the relevant web page content. FIG. 10B illustrates atechnique (herein referred to as “AdMatch”) for placing relevantmarketing opportunities, promotions, graphics, commerce opportunities,ads (1012), etc. next to the web page content. FIG. 10C illustrates atechnique (herein referred to as “Contextual Pop-ups”) for placingrelevant pop-up windows (1022) on top or under the current page. Thepop-up window(s) may include information relating to content, marketingopportunities, promotions, graphics, commerce opportunities, etc. FIG.10D illustrates a technique (herein referred to as “AdLinks”) forplacing additional links to information (1034) (e.g., content, marketingopportunities, promotions, graphics, commerce opportunities, etc.)within the existing text of the web page content by transformingexisting text (1032 a, 1032 b) into hyperlinks. FIG. 10E illustrates atechnique (herein referred to as “NaviLinks”) for finding web pages(1042, 1044, 1046) that relate to each other (e.g., by relevant topic ortheme), finding relevant keywords (1043, 1045, 1047) on those pages, andthen transforming those relevant keywords into hyperlinks that linkbetween the related pages.

Returning to FIG. 3, at (34) it is assumed that the user has clicked onone of the contextual ads which was dynamically inserted into the webpage content using the above-described technique. According to at leastone embodiment, the action of the user clicking on one of the contextualads causes the client system to transmit (36) a URL request to theKontera Server System. The URL request may be logged (38) in a localdatabase at the Kontera Server System when received. The URL may includeembedded information allowing the Kontera Server System to identifyvarious information about the selected ad, including, for example, theidentity of the sponsoring advertiser, the keywords(s) associated withthe ad, the ad type, etc. The Kontera Server System 304 may use at leasta portion of this information to generate (38) redirected instructionsfor redirecting the client system to the identified advertiser.Additionally, the Kontera Server System may also use at least a portionof the URL information during execution (40) of a Dynamic FeedbackProcedure such as that illustrated, for example, in FIG. 9 of thedrawings. In at least one embodiment, the Dynamic Feedback Procedure maybe implemented to record user click information and impressioninformation associated with various keywords.

As shown at (42), the Kontera Server System transmits the redirectedinstructions to the client system 302. In response, the client system isredirected to transmit (44) a new URL request to Ad Server 308. The AdServer may then respond by serving (46) web page content correspondingto the URL request to the client system 302. In at least one embodiment,the web page content sent from the ad Server 308 may include text orother information relevant to content of the web page previouslydisplayed to the user.

FIG. 4 shows a flow diagram of an alternate embodiment for implementingthe contextual analysis and content modification techniques of thepresent invention. As explained in greater detail below, the contextualanalysis and content modification techniques of FIG. 4 may beimplemented without the need for the content provider to modify its webpages to include dynamic context tag information such as that describedpreviously with respect to FIG. 3.

In the example of FIG. 4, it is assumed at (1) that a user at the clientsystem 402 has initiated a URL request to view a particular web pagesuch as, for example, www.yahoo.com. Such a request may be initiated,for example, via the Internet using an Internet browser application atthe client system. When the URL request is received at the contentprovider server 406, server 406 responds by transmitting (3) the URLrequest info and/or web page content (corresponding to the requestedURL) to the Kontera Server System 404. In a specific embodiment wherethe Kontera Server System receives only the URL request information fromthe content provider server, the Kontera Server System may request (5)the web page content (corresponding to the requested URL) from thecontent provider server 406. The server 406 made and respondent byproviding the requested web page content to the Kontera Server System.

As the Kontera Server System 404 receives the web page content from thecontent provider server 406, it analyzes (9), in real-time, the receivedweb page content in order to generate keyword information and page topicinformation. In at least one implementation, the Kontera Server Systemmay continue to request and analyze web page content for the specifiedweb page until it has generated a sufficient amount of keywordinformation until it has generated a sufficient amount of page topicinformation, and/or until the entirety of the web page content has beenanalyzed. Once the Kontera Server System has finished performing itsanalysis of the web page content, it may then submit a request (11) toone or more advertiser systems 408 for contextual ad informationrelating to the identified keyword information and page topicinformation. Each advertiser system may, in turn, process the adinformation request in order to determine if it has relevant advertisinginformation relating to the specified keyword information and page topicinformation. If so, the advertiser system 408 may transmit (13)contextual ad information to the Kontera Server System.

According to a specific embodiment, it is possible for the KonteraServer System 404 to receive different contextual ad information from aplurality of different advertiser systems. In one implementation, thereceived ad information may be sorted and/or ranked according topredetermined criteria in order to select a desired ad. Once a desiredad has been selected, the Kontera Server System may then generate (15)web page modification instructions using, for example, the contextual adinformation associated with the selected ad, and desired ad typeinformation specified by the content provider server 406. The web pagecontent and web page modification instructions are then transmitted (17)to the client system. When the web page content and web pagemodification instructions are received at the client system, the clientsystem processes the instructions, and in response, modifies (19) theweb page content in accordance with the web page modificationinstructions. In an alternate embodiment (not shown), the Kontera ServerSystem may perform the task of modifying the web page content inaccordance with the web page modification instructions before sendingthe modified information to the client system 402. Accordingly, in thisembodiment the client system may receive the modified web page content(which now includes the contextual ad information) from the KonteraServer System.

Because the web page modification operations are implementedautomatically, in real-time, and without significant delay, suchmodifications may be performed transparently to the user. Thus, forexample, from the user's perspective, when the user requests aparticular web page to be retrieved and displayed on the client system,the client system will respondent by displaying a modified web pagewhich not only includes the original web page content, but also includesadditional contextual ad information. If the user subsequently clicks onone of the contextual ads which was dynamically inserted into the webpage content (a shown, for example, at operation 34 of FIG. 3), processflow may commence in a manner similar to that described previously withrespect to operations (34)-(46) of FIG. 3.

FIG. 5 shows a flow diagram of a Web Page Content Analysis Procedure 500and accordance with a specific embodiment of the present invention. Inat least one embodiment, the Web Page Content Analysis Procedure 500 maybe implemented at the Kontera Server System for analyzing received webpage content in order to generate keyword information and page topicinformation, as described previously, for example, with respect to FIGS.3 and 4. As illustrated in the embodiment of FIG. 5, when a portion ofweb page content is presented to the Kontera Server System for analysis,the Kontera Server System may respond by performing (502) a databasemethod analysis of the received web page content, and by also performing(504) a dynamic method analysis of the received web page content. Theresults from the database method analysis and dynamic method analysismay then be combined (506) in order to generate desired keywordinformation and page topic information.

FIG. 6 shows a flow diagram of a Database Method Analysis Procedure 600in accordance with a specific embodiment of the present invention.According to at least one embodiment, the Database Method AnalysisProcedure 600 may be implemented during execution of the Web PageContent Analysis Procedure 500 of FIG. 5. In a specific implementation,the Database Method Analysis Procedure may be configured to utilizetaxonomy keyword information when analyzing web page content in order toidentify taxonomy keywords and/or ontology keywords. The Database MethodAnalysis Procedure may also be configured to utilize the identifiedkeyword information in order to generate other information such as, forexample, primary keyword information, topic information (e.g., whichrelates to the topic of the web page content), etc. An example of thekeyword/topic classification scheme as illustrated in FIG. 14 of thedrawings.

FIG. 14 shows an example of a keyword/topic classification scheme 1400in accordance with a specific embodiment of the present invention. Asillustrated in the example of FIG. 14, the keyword/topic classificationscheme may include a plurality of hierarchical classifications (e.g.,keywords, subtopics, subcategories, topics, categories, super topics,etc.). The highest level of the hierarchy corresponds to super topicinformation 1402. In one implementation, the super topic may correspondto a general topic or subject matter such as, for example, “sports”. Thenext level in the hierarchy includes topic information 1404 and categoryinformation 1406. In one implementation, topic information maycorrespond to subsets of the super topic which may be appropriate forcontextual content analysis. For example, “basketball” is an example ofa topic of the super topic “sports”. Category information, on the otherhand, may correspond to subsets of the super topic which may beappropriate for advertising purposes, but which may not be appropriatefor contextual content analysis. For example, “sports equipment” is anexample of a category of the super topic “sports”.

The next level in the hierarchy includes sub-topic information 1408 andsub-category information 1410 a, 1410 b. In one implementation,sub-topic information may correspond to subsets of topics which may beappropriate for contextual content analysis. For example, “NBA” is anexample of a sub-topic associated with the topic “basketball”.Sub-category information may correspond to subsets of topics and/orcategories which may be appropriate for advertising purposes, but whichmay not be appropriate for contextual content analysis. For example,“NBA merchandise” is an example of a sub-category of topic “basketball”,and “foosball” is an example of a sub-category associated with thecategory “sports equipment”. The lowest level of the hierarchycorresponds to keyword information, which may include taxonomy keywords1412, ontology keywords 1414 a, 1414 b, and/or keywords which may beclassified as both taxonomy and ontology. In at least one embodiment,taxonomy keywords may correspond to words or phrases in the web pagecontent which relate to the topic or subject matter of a web page.Ontology (or “Adlink”) keywords may correspond to words or phrases inthe web page content which are not to be included in the contextualcontent analysis but which may have advertising value. For example, “LALakers” is an example of a taxonomy keyword of sub-topic “NBA”, “AirJordan” is an example of an ontology keyword associated with thesub-category “NBA merchandise”, and “foosball table” is an example of anontology keyword associated with the sub-category “foosball”.

Returning to the example of FIG. 6, it is assumed that the DatabaseMethod Analysis Procedure 600 has been called to analyze a portion ofweb page content which, fOr example, has been received at the KonteraServer System. Accordingly, as shown at (602), the web page content tobe analyzed is accessed. Additionally, as shown at (604), keywordtaxonomy information is retrieved. In a specific implementation, thekeyword taxonomy information may include a keyword taxonomy file whichis stored in a database at the Kontera Server System. The keywordtaxonomy file may include a plurality of taxonomy keywords and/orontology keywords. In one implementation, each record in the keywordtaxonomy file may use a format similar to that shown, for example, inFIG. 12 of the drawings.

As the Database Method Analysis Procedure performs its analysis, itcompares the web page content to information in the keyword taxonomyinformation in order to identify (606) all ontology keywords in the webpage content, and to identify (608) all taxonomy keywords in the webpage content. After identifying the ontology and taxonomy keywords, theDatabase Method Analysis Procedure ranks (610) the identified taxonomykeywords based upon predetermined criteria. According to differentimplementations, the ranking of an identified taxonomy keyword may bebased on a variety of different criteria such as, for example, itslocation on the web page, its relative location in the keyword taxonomyfile, frequency of occurrence on the web page, its formattingproperties, its proximity to other words, its previous performanceindicators (e.g., clicks/impressions), pricing information, etc. Forexample, according to a specific implementation, different pricinginformation (e.g., average price (CPC) per keyword and/or topic) may beassociated with different keywords and/or topics. Such pricinginformation may be used as criteria for ranking various keywords. Forexample, higher priced keywords may receive a relatively higher rankingscore. This feature provides the benefit of facilitating elevation ofrevenue numbers for server-side clients such as content providers and/oradvertisers.

After the identified taxonomy keywords have been ranked, the DatabaseMethod Analysis Procedure may then identify (612) appropriate sub-topic,topic and/or super topic classifications of the web page content basedupon the keyword rankings. Using this information, the Database MethodAnalysis Procedure may then determine (614) the appropriate topic level(e.g., sub-topic, topic, or super topic) of the overall web page contentsubject matter. In at least one embodiment, it is possible for multipletopics and/or sub-topics to be assigned to a given web page. In thisway, each topic and/or sub-topic assigned to the web page may beevaluated independently for performance purposes.

FIG. 7 shows a flow diagram of a Dynamic Method Analysis Procedure 700in accordance with a specific embodiment of the present invention.According to at least one embodiment, the Dynamic Method AnalysisProcedure 700 may be implemented during execution of the Web PageContent Analysis Procedure 500 of FIG. 5. In a specific implementation,the Dynamic Method Analysis Procedure may be configured to dynamicallyidentify keywords in web page content without relying upon the keywordtaxonomy information during the analysis.

In the example of FIG. 7, it is assumed that the Dynamic Method AnalysisProcedure 700 has been called to analyze a portion of web page contentwhich, for example, has been received at the Kontera Server System. Uponreceiving (702) a chunk or portion of the web of a content, the DynamicMethod Analysis Procedure generates (704) a noun list of potentialkeywords by analyzing the web page content using language and/or grammarrules. In one implementation, the noun list may include nouns, propernouns, and/or noun phrases which have been identified in the web pagecontent. According to a specific embodiment, such a noun list may begenerated, for example, by identifying the parts of speech of the wordsand/or phrases in the web page content, and then the selecting theidentified nouns, proper nouns, and/or noun phrases. According todifferent embodiments, a variety of different techniques may be used foridentifying the parts of speech of the words and/or phrases in the webpage content. An example of such a technique is via the use of apart-of-speech processing algorithm such as the NLProcessor Engine,available from Infogistics Ltd. of Edinburgh, Scotland(www.infogistics.com).

After the noun list has been generated, it may be filtered (706), forexample, by removing restricted or undesirable words. The noun listinformation may then be grouped (708) according to desired criteria suchas, for example, by sequences and/or similarities. The different noungroups may then be ranked (710) according to desired criteria such as,for example, frequency, length of word, etc. as shown at (712) at leasta portion of the different noun groups may be selected to be associatedas keywords for selected web page. In a specific implementation, theselected noun groups may correspond to those groups which have acorresponding match to keywords in the keyword taxonomy, and also whichare associated with the page topic(s) identified for the selected webpage. According to a specific implementation, the ranked noun groups may(optionally) be compared (714) to the keyword taxonomy information, andthen re-ranked based on the comparison. For example, noun groups whichhave a corresponding match to keywords in the keyword taxonomy mayreceive an increase in their relative ranked value.

It will be appreciated that one advantage of the Dynamic Method AnalysisProcedure is that it may be used to generate a plurality of new and/oradditional keywords which are not presently included in the keywordtaxonomy database. This feature provides the additional benefit ofallowing the use of a smaller keyword taxonomy file to dynamicallygenerate a desired amount of identified keywords during the web pagecontent analysis. It also enables the identification of new products,company names, etc. that were not previously added into the keywordtaxonomy database. FIG. 8 shows a flow diagram of a Page ModificationInstruction Procedure 800 in accordance with a specific embodiment ofthe present invention. In at least one embodiment, the Page ModificationInstruction Procedure may be implemented at the Kontera Server Systemfor generating web page content modification instructions usingcontextual ad information, as described previously, for example, withrespect to FIGS. 3 and 4. In the example of FIG. 8, it is assumed thatthe Kontera Server System has submitted a request to one or moreadvertiser systems for contextual ad information relating to specifickeyword information and page topic information. It is further assumedthat one or more advertiser systems have responded to the request bytransmitting their respective ad information to the Kontera ServerSystem. When the ad information is received (802) from the advertisers,the ad information may be ranked (804) based upon predetermined criteriasuch as, for example, CPC criteria, revenue criteria, expected returncriteria, likelihood of user clicks, statistical historical data, etc.One or more ads may then be selected (806) (depending upon the number ofads desired) based upon their relative ranking.

Once the desired ad(s) have been selected, the Page ModificationInstruction Procedure may then generate (808) web page modificationinstructions using, for example, the contextual ad informationassociated with the selected ad, and the desired ad type informationspecified by the content provider. According to at least one embodiment,the web page modification instructions may include instructions formodifying, in real-time, the display of web page content on the clientsystem by inserting and/or modifying textual markup information and/ordynamic content information. Additionally, the web page modificationinstructions may include keyword impression information which may bestored at the Kontera Server System database. Once generated, the webpage modification instructions may then be transmitted (810) to theclient system for implementation. In a specific embodiment, the web pagemodification instructions may be implemented using a scripting languagesuch as, for example, Java script. When the web page modificationinstructions are received at the client system, the client systemprocesses the instructions, and in response, modifies the display of theweb page content in accordance with the page modification instructions.

FIG. 9 shows a flow diagram of a Dynamic Feedback Procedure 900 inaccordance with the specific embodiment of the present invention. In atleast one embodiment, the Dynamic Feedback Procedure may be implementedat the Kontera Server System to record user click information andimpression information associated with various keywords, as describedpreviously, for example, with respect to FIG. 3. In the example of FIG.9, it is assumed that (902) that the user has click on a contextualadvertisement displayed on the client system. The action of the userclicking on one of the contextual ads causes the client system totransmit the user click information to the Kontera Server System by wayof a URL request. The URL request may include embedded informationallowing the Kontera Server System to identify various information aboutthe ad, including, for example, the identity of the sponsoringadvertiser, the keywords(s) associated with the ad, the ad type, etc.When the Dynamic Feedback Procedure receives (904) the clickinformation, it identifies (906) the ad information associated with theclick information, and identifies (908) the keywords associated with theidentified ad information. The user click information and impressioninformation for each of the identified keywords may then be recorded(910). In one implementation, the user click information and impressioninformation is recorded on a local database at the Kontera ServerSystem. Additionally, in at least one implementation, informationrelating to the keyword impression information may be accessed from adatabase at the Kontera Server System. As shown at (912) the rankings ofkeywords in the keyword taxonomy database may be periodically modifiedbased upon specific criteria such as, for example, the user clickinformation and impression information associated with each keyword.

FIG. 11 shows an example of a dynamic feedback database record 1100 inaccordance with a specific embodiment of the present invention. In atleast one embodiment, the Dynamic Feedback Procedure may store userclick information and impression information for selected keywords usingthe dynamic feedback database record 1100. As illustrated in theembodiment of FIG. 11, the dynamic feedback database record may includea plurality of different fields (1102-1114) for recording variousinformation about a selected keyword. For example, the dynamic feedbackdatabase record may include: a keyword ID field 1102 which includeskeyword ID information relating to a selected keyword; a text stringfield 1104 which includes information relating to the keyword textstring; a total clicks field 1106 which includes information relating toa cumulative or total amount of user clicks for that particular keyword(e.g., total clicks for a specific page, total clicks across pages thatwere part of a specific topic (super topic, topic, sub topic), etc.); atotal impressions field 1108 which includes information relating to acumulative or total amount of impressions for that particular keyword;an impression type field 1112 which includes information relating to thetype(s) of impression(s) (e.g., Adlink, pop-up, Navilink, SerchMatch,AdMatch, etc.) used to display that particular keyword; a timestampinformation field which includes information relating to thetime(s)/date(s) when the user click(s) occurred for that particularkeyword, etc.

FIG. 12 shows an example of a keyword taxonomy database record 1200 inaccordance with a specific embodiment of the present invention.According to at least one embodiment, the keyword taxonomy databaserecord may include a plurality of different fields (1202-1220) forrecording various information about a selected keyword. For example, thekeyword taxonomy database record may include: a keyword ID field 1202which includes keyword ID information relating to a selected keyword; atext string field 1204 which includes information relating to thekeyword text string; a keyword type field 1206 which includesinformation relating to the keyword type (e.g., taxonomy, ontology, orboth); a rank information field 1212 which includes information relatingto relative ranking of that keyword within the keyword taxonomydatabase; a super topic ID field 1214 which includes informationrelating to at least one super topic associated with that particularkeyword; a topic ID field 1216 which includes information relating to atleast one topic (if any) associated with that particular keyword; and atopic ID field 1218 which includes information relating to at least onesub-topic (if any) associated with that particular keyword. The keywordtaxonomy database record may also include other fields 1220 which mayinclude other information such as, for example, category information (ifany), subcategory information (if any), pricing information (e.g.,average CPC price for keyword and/or topic), etc.

It will be appreciated that the present invention provides contentproviders with an efficient and unique technique of presenting desiredinformation to end users while those users are browsing the contentproviders' web pages. Moreover, the technique of the present inventionenables content providers to proactively respond to the contextualcontent on any given page that their customers/users are currentlyviewing. According to at least one implementation, the technique of thepresent invention allows a content provider to present links,advertising information, and/or other special offers or promotions whichthat are highly relevant to the user at that point in time, based on thecontext of the web page the user is currently viewing, and without theneed for the user to perform any active action. As described previously,the additional information to be displayed to the user may be deliveredusing a variety of techniques such as, for example, providing directlinks to other pages with relevant information; providing links thatopen layers with link(s) to relevant information on the page that theuser is on; providing links that open layers with link(s) to relevantinformation on the page that the user is on; providing layers that openautomatically once the user reaches a given page, and presentinginformation that is relevant to the context of the page; providinggraphic and/or text promotional offers, etc.; providing links that openlayers with content that is served from an external (third party contentserver) location, etc.

Moreover, it will be appreciated that the technique of the presentinvention provides a contextual-based platform for delivering to an enduser in real-time proactive, personalized, contextual informationrelating to web page content currently being displayed to the user. Inaddition, the contextual information delivery technique of the presentinvention may be implemented using a remote server operation without anyneed to modify content provider server configurations, and without theneed for any conducting any crawling, indexing, and/or searchingoperations prior to the web page being accessed by the user.Furthermore, because the technique of the present invention is able todeliver additional contextual information to the user based uponreal-time analysis of web page content currently being viewed by theuser, the contextual information delivery technique of the presentinvention is compatible for use with static web pages, customized webpages, personalized web pages, dynamically generated, web pages, andeven with web pages where the web page content is continuously changingover time (such as, for example, news site web pages).

Additional techniques relating to on-line contextual advertisingtechniques are described in U.S. patent application Ser. No. 09/943,524,entitled “DYNAMIC DOCUMENT CONTEXT MARK-UP TECHNIQUE IMPLEMENTED OVER ACOMPUTER NETWORK”, filed on Aug. 29, 2001, naming Henkin et al. asinventors. That application is incorporated herein by reference in itsentirety for all purposes.

Other Embodiments

Generally, the contextual information delivery techniques of the presentinvention may be implemented on software and/or hardware. For example,they can be implemented in an operating system kernel, in a separateuser process, in a library package bound into network applications, on aspecially constructed machine, or on a network interface card. In aspecific embodiment of this invention, the technique of the presentinvention is implemented in software such as an operating system or inan application running on an operating system.

A software or software/hardware hybrid implementation of the contextualinformation delivery technique of this invention may be implemented on ageneral-purpose programmable machine selectively activated orreconfigured by a computer program stored in memory. Such programmablemachine may be a network device designed to handle network traffic, suchas, for example, a router or a switch. Such network devices may havemultiple network interfaces including frame relay and ISDN interfaces,for example. Specific examples of such network devices include routersand switches. A general architecture for some of these machines willappear from the description given below. In an alternative embodiment,the contextual information delivery technique of this invention may beimplemented on a general-purpose network host machine such as a personalcomputer or workstation. Further, the invention may be at leastpartially implemented on a card (e.g., an interface card) for a networkdevice or a general-purpose computing device.

Referring now to FIG. 15, a network device 60 suitable for implementingthe contextual information delivery techniques of the present inventionincludes a master central processing unit (CPU) 62, interfaces 68, and abus 67 (e.g., a PCI bus). When acting under the control of appropriatesoftware or firmware, the CPU 62 may be responsible for implementingspecific functions associated with the functions of a desired networkdevice. For example, when configured as a network server, the CPU 62 maybe responsible for analyzing packets, encapsulating packets, forwardingpackets to appropriate network devices, analyzing web page content,generating web page modification instructions, etc. The CPU 62preferably accomplishes all these functions under the control ofsoftware including an operating system (e.g. Windows NT), and anyappropriate applications software.

CPU 62 may include one or more processors 63 such as a processor fromthe Motorola or Intel family of microprocessors or the MIPS family ofmicroprocessors. In an alternative embodiment, processor 63 is speciallydesigned hardware for controlling the operations of network device 60.In a specific embodiment, a memory 61 (such as non-volatile RAM and/orROM) also forms part of CPU 62. However, there are many different waysin which memory could be coupled to the system. Memory block 61 may beused for a variety of purposes such as, for example, caching and/orstoring data, programming instructions, etc.

The interfaces 68 are typically provided as interface cards (sometimesreferred to as “line cards”). Generally, they control the sending andreceiving of data packets over the network and sometimes support otherperipherals used with the network device 60. Among the interfaces thatmay be provided are Ethernet interfaces, frame relay interfaces, cableinterfaces, DSL interfaces, token ring interfaces, and the like. Inaddition, various very high-speed interfaces may be provided such asfast Ethernet interfaces, Gigabit Ethernet interfaces, ATM interfaces,HSSI interfaces, POS interfaces, FDDI interfaces and the like.Generally, these interfaces may include ports appropriate forcommunication with the appropriate media. In some cases, they may alsoinclude an independent processor and, in some instances, volatile RAM.The independent processors may control such communications intensivetasks as packet switching, media control and management. By providingseparate processors for the communications intensive tasks, theseinterfaces allow the master microprocessor 62 to efficiently performrouting computations, network diagnostics, security functions, etc.

Although the system shown in FIG. 15 illustrates one specific networkdevice of the present invention, it is by no means the only networkdevice architecture on which the present invention can be implemented.For example, an architecture having a single processor that handlescommunications as well as routing computations, etc. is often used.Further, other types of interfaces and media could also be used with thenetwork device.

Regardless of network device's configuration, it may employ one or morememories or memory modules (such as, for example, memory block 65)configured to store data, program instructions for the general-purposenetwork operations and/or other information relating to thefunctionality of the contextual information delivery techniquesdescribed herein. The program instructions may control the operation ofan operating system and/or one or more applications, for example. Thememory or memories may also be configured to store data structures,keyword taxonomy information, advertisement information, user click andimpression information, and/or other specific non-program informationdescribed herein.

Because such information and program instructions may be employed toimplement the systems/methods described herein, the present inventionrelates to machine readable media that include program instructions,state information, etc. for performing various operations describedherein. Examples of machine-readable media include, but are not limitedto, magnetic media such as hard disks, floppy disks, and magnetic tape;optical media such as CD-ROM disks; magneto-optical media such asfloptical disks; and hardware devices that are specially configured tostore and perform program instructions, such as read-only memory devices(ROM) and random access memory (RAM). The invention may also be embodiedin a carrier wave traveling over an appropriate medium such as airwaves,optical lines, electric lines, etc. Examples of program instructionsinclude both machine code, such as produced by a compiler, and filescontaining higher level code that may be executed by the computer usingan interpreter.

Although several preferred embodiments of this invention have beendescribed in detail herein with reference to the accompanying drawings,it is to be understood that the invention is not limited to theseprecise embodiments, and that various changes and modifications may beeffected therein by one skilled in the art without departing from thescope of spirit of the invention as defined in the appended claims.

It is claimed:
 1. A computer-implemented method comprising: receiving achunk of content of a web page; analyzing the chunk of content of theweb page to generate keyword information for the web page by comparingthe content of the web page with information in a keyword taxonomy, thekeyword information for use, by an advertisement server, in selecting anad to be displayed on the web page; determining that additional contentof the web page is needed to generate a predetermined minimum amount ofkeyword information for the web page; requesting an additional chunk ofcontent of the web page; receiving the additional chunk of content ofthe web page; analyzing the additional chunk of content of the web pageto generate additional keyword information; and communicating to one ormore advertisement servers a request for advertisement informationrelating to the keyword information.
 2. The computer-implemented methodof claim 1, further comprising: prior to communicating the request foradvertisement information to the one or more advertisement servers,continuously requesting, receiving and analyzing chunks of content ofthe web page until determining that a sufficient amount of keywordinformation has been generated.
 3. The computer-implemented method ofclaim 1, further comprising: after receiving the additional chunk ofcontent of the web page, determining that the entire web page has beenreceived.
 4. The computer-implemented method of claim 1, furthercomprising: prior to receiving the chunk of content of the web page,receiving from a client system a unique identifier identifying contentof the web page that has been processed at the client system; andrequesting the chunk of content from the web page after determining,based on analysis of the unique identifier, that the web page has notpreviously been received and analyzed.
 5. The computer-implementedmethod of claim 4, wherein determining, based on analysis of the uniqueidentifier, that the web page has not previously been received andanalyzed includes determining that a copy of the web page correspondingto the unique identifier is not within a cache.
 6. Thecomputer-implemented method of claim 1, further comprising: subsequentto communicating to the one or more advertisement servers the requestfor advertisement information, receiving advertisement information froman advertisement server; generating web page modification instructionsbased in part on the advertisement information, the web pagemodification instructions for instructing the client system to modifythe web page to display advertisement information; and communicating theweb page modification instructions to the client system.
 7. Thecomputer-implemented method of claim 6, wherein the web pagemodification instructions instruct the client to transform existing textof the web page to a hyperlink.
 8. The computer-implemented method ofclaim 1, further comprising: subsequent to communicating to the one ormore advertisement servers the request for advertisement information,receiving advertisement information from a plurality of advertisementservers; selecting particular advertisement information received fromone advertisement server based on predetermined criteria; generating webpage modification instructions based in part on the particularadvertisement information, the web page modification instructions forinstructing the client system to modify the web page to displayadvertisement information; and communicating the web page modificationinstructions to the client system.
 9. The computer-implemented method ofclaim 8, wherein the predetermined criteria include any one or more of:cost per click (CPC) criterion, revenue criterion, expected returncriterion, likelihood of user click criterion, and statisticalhistorical data.
 10. A server system comprising: at least one processorconfigured to execute instructions stored in a memory, the instructions,when executed, to cause the server system to: receive a chunk of contentof a web page; analyze the chunk of content of the web page to generatekeyword information for the web page by comparing the content of the webpage with information in a keyword taxonomy, the keyword information foruse in selecting an ad to be displayed on the web page; determine thatadditional content of the web page is needed to generate a predeterminedminimum amount of keyword information for the web page; request anadditional chunk of content of the web page; receive the additionalchunk of content of the web page; and communicate to one or moreadvertisement servers a request for advertisement information, therequest including the keyword information.
 11. The server system ofclaim 10, wherein the instructions are to cause the server system to:continuously request, receive and analyze chunks of content of the webpage until determining that a sufficient amount of keyword informationhas been generated.
 12. The server system of claim 10, wherein theinstructions are to cause the server system to: determine that theentire web page has been received after receiving the additional chunkof content of the web page.
 13. The server system of claim 10, whereinthe instructions are to cause the server system to: prior to receivingthe chunk of content of the web page, receive from a client system aunique identifier identifying content of the web page that has beenprocessed at the client system; and request the chunk of content fromthe web page after determining, based on analysis of the uniqueidentifier, that the web page has not previously been received andanalyzed.
 14. The server system of claim 13, wherein determining, basedon analysis of the unique identifier, that the web page has notpreviously been received and analyzed includes determining that a copyof the web page corresponding to the unique identifier is not within acache.
 15. The server system of claim 10, wherein the instructions areto cause the server system to: receive advertisement information from anadvertisement server subsequent to communicating to one or moreadvertisement servers the request for advertisement information;generate web page modification instructions based in part on theadvertisement information, the web page modification instructions forinstructing the client system to modify the web page to displayadvertisement information; and communicate the web page modificationinstructions to the client system.
 16. The server system of claim 15,wherein the web page modification instructions are to instruct theclient to transform existing text of the web page to a hyperlink. 17.The server system of claim 10, wherein the instruction are to cause theserver system to: receive advertisement information from a plurality ofadvertisement servers subsequent to communicating to the plurality ofadvertisement servers the request for advertisement information; selectparticular advertisement information received from one advertisementserver based on predetermined criteria; generating web page modificationinstructions based in part on the particular advertisement information,the web page modification instructions for instructing the client systemto modify the web page to display advertisement information; andcommunicating the web page modification instructions to the clientsystem.
 18. The server system of claim 17 wherein the predeterminedcriteria include any one or more of: cost per click (CPC) criterion,revenue criterion, expected return criterion, likelihood of user clickcriterion, and statistical historical data.
 19. A server systemcomprising: a front end component configured to receive a chunk ofcontent of a web page; an analysis engine configured to analyze thechunk of content of the web page and to generate keyword information andpage topic information for the web page by comparing the content of theweb page with information in a keyword taxonomy, the keyword informationand page topic information for use in selecting an ad to be displayed onthe web page; the analysis engine further configured to request anadditional chunk of content of the web page after determining thatadditional content of the web page is needed to generate a predeterminedminimum amount of keyword information for the web page and/or page topicinformation for the web page, the front end configured to receive theadditional chunk of content of the web page, wherein the analysis engineis implemented at least in part with one or more processors and one ormore memory devices; and the server system to communicate to one or moreadvertisement servers a request for contextual advertisementinformation, the request including the keyword information and/or thepage topic information.
 20. A computer-implemented method comprising:communicating a request for a chunk of content of a web page to a clientcomputer system after analyzing one or more previously received chunksof content of the web page and determining that an additional chunk ofcontent is needed to generate a predetermined minimum amount of pagetopic information or keyword information; receiving the chunk of contentof the web page; analyzing the chunk of content of the web page togenerate keyword information and page topic information for the web pageby comparing the content of the web page with information in a keywordtaxonomy; and communicating to one or more advertisement servers arequest for contextual advertisement information, the request includingthe keyword information and/or the page topic information.